XavierZXY/Zero2Hero
从0到1学习大模型
This collection of projects is designed for individuals learning to build and train large language models (LLMs) and visual language models (VLMs) from scratch. It provides practical code examples and learning paths covering everything from core Transformer components to full training pipelines. Aspiring AI researchers, students, or practitioners looking to deeply understand LLM and VLM mechanics would use this to go from theoretical knowledge to hands-on implementation.
Use this if you want to understand the complete lifecycle of training LLMs or VLMs, from basic architecture to advanced alignment techniques, through practical code examples and structured learning paths.
Not ideal if you are looking for a ready-to-use, high-level API or a library to quickly integrate an existing large model into an application without needing to understand its internal workings.
Stars
19
Forks
—
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Mar 19, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/transformers/XavierZXY/Zero2Hero"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
PacktPublishing/Mastering-NLP-from-Foundations-to-LLMs
Mastering NLP from Foundations to LLMs, Published by Packt
HandsOnLLM/Hands-On-Large-Language-Models
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
mlabonne/llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
louisfb01/start-llms
A complete guide to start and improve your LLM skills in 2026 with little background in the...
Denis2054/Transformers-for-NLP-and-Computer-Vision-3rd-Edition
Transformers 3rd Edition